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العنوان
Analysis of Cesarean Section Rates in Minia University Maternity and Child Hospital Using Robson Classification:
المؤلف
Abdo, Kierles Faiq Gaber,
هيئة الاعداد
باحث / كيرلس فايق جابر عبده
مشرف / هانى حسن كامل
مشرف / محمد يحي محمد أحمد
الموضوع
Cesarean section - Prevention. Medical care - Decision making.
تاريخ النشر
2023.
عدد الصفحات
81 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
أمراض النساء والتوليد
تاريخ الإجازة
20/3/2023
مكان الإجازة
جامعة المنيا - كلية الطب - أمراض النساء والتوليد
الفهرس
Only 14 pages are availabe for public view

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from 82

Abstract

Delivery via caesarean section (Hs) is a reliable indicator of the availability and quality of treatment for mothers. To measure, monitor, and compare CS rates on a worldwide scale, the Robson ten group categorization system is recommended as a global standard by the World Health Organization. The purpose of this research is to determine the prevalence of CS and analyse the data using the Robson categorization system.
Methods: Minia University Maternal and Child hospital was the site of a cross-sectional study. All birth records from April 2022 through October 2022 were analysed to get these statistics. After calculating the total CS rate, women were randomly placed into one of 10 Robson groups. The size of the groups, the percentage of the total CS rate that each group contributed, and the CS rate within the groups were all determined.
The end result is that 3860 births were studied. There were 2171 CS births (56.2%), whereas 1689 were SV births (43.8%).
The CS rate into each group was calculated, and their relative contributions to the overall CS rate were calculated using the Robson twelve group classification method. The highest percentage increase in the CS rate was seen in group 5. This study also showed that CS was prevalent among high-risk populations. To reduce the CS rate, it will be necessary to do more research into these populations to identify modifiable variables and tailor therapies accordingly. To improve outcomes, it is vital to assess current treatment procedures and conduct new research on CS symptoms and outcomes.
In order to monitor and monitor CS rates in a relevant, accurate, and action-oriented way, policymakers, project managers, doctors, and bureaucrats need a standardised and internationally acknowledged classification system. Robson’s Ten group Classification Scheme (RTGCS) was deemed the best choice out of a total of 27 proposed categorization systems for CS in a 2011 review of the field’s current classification schemes.
Based on a predetermined set of obstetric traits, the Robson classification system divides all babies into 10 categories that are both completely and utterly inclusive. Factors like as parity, prior CS, labour start, foetal position, number of foetuses, and age at conception all play a role (Table 1). (Table 1). (Table 1). The size of each Robson band is then compared to the general obstetric population, the group’s contribution to the national CS rate, or the CS rate in within group are all calculated. Because it relies only on regularly reported obstetrics data of every woman rather than the rationale for CS, the classification technique is simple to implement and permits auditing and analysis of CS rates.
There are a number of benefits to using the RTGCS to its full potential. It helps pinpoint the Robson subgroups responsible for the bulk of the CS rate. This is a crucial part of the evaluation process because even small changes in the CS rate across different groups as a result of interventions may have a significant impact on the CS rate as a whole. The method is easily repeatable and provides a standard for making comparisons through time and space within the same institution or between other institutions on a local, regional, or global scale. By establishing a benchmark and monitoring shifts in both overall and subgroup CS rates over time, RTGCS may provide insight into the effectiveness of interventions at the local and national levels.
The World Health Organization and the International Organisation of Gynecological and Obstetrics (FIGO) both recognise the Robson classification system’s benefits and simplicity and advocate for it as a universal standard for assessing, monitoring, and comparing CS rates across nations and over time and between institutions, irrespective of their level of complexity.